Results 101 to 110 of about 4,521,299 (288)
Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Convergence en loi de Dirichlet de certaines intégrales stochastiques [PDF]
Récemment, Bouleau a proposé une extension du principe d'invariance fonctionnelle de Donsker qui met en évidence la convergence en loi de Dirichlet d'une marche aléatoire erronée vers la structure d'Ornstein-Uhlenbeck sur l'espace de Wiener.
Christophe Chorro
core
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
A Dirichlet-Multinomial Bayes Classifier for Disease Diagnosis with Microbial Compositions
Dysbiosis of microbial communities is associated with various human diseases, raising the possibility of using microbial compositions as biomarkers for disease diagnosis.
Xiang Gao, Huaiying Lin, Qunfeng Dong
doaj +1 more source
Properties of the complex matrix variate Dirichlet distribution
In this paper, several properties of the complex matrix variate Dirichlet type I distribution are studied. Also, the asymptotic expansion of the probability density function of the complex matrix variate Dirichlet distribution is derived.Universidad de ...
Bedoya, Elizabeth +2 more
core
Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano +3 more
wiley +1 more source
When constructing discrete (binned) distributions from samples of a data set, applications exist where it is desirable to assure that all bins of the sample distribution have nonzero probability.
Paul Darscheid, Anneli Guthke, Uwe Ehret
doaj +1 more source
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley +1 more source
Coupling Fluid Neutrals to Gyrokinetic Plasma Dynamics for Edge and SOL Turbulence Simulations
ABSTRACT Accurate modeling of turbulent transport in magnetic confinement fusion devices requires extending first‐principles gyrokinetic simulations from the core to the edge and scrape‐off layer (SOL), where additional physics—particularly plasma–neutrals interactions—must be included.
Sabine Ogier‐Collin +3 more
wiley +1 more source
Large Deviations for Dirichlet Processes and Poisson-Dirichlet Distribution with Two Parameters
22 ...
openaire +4 more sources

